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Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

16 August 2019
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
    GNN
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Papers citing "Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning"

15 / 15 papers shown
Title
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous
  Graph Diffusion Functionals
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan
Jiaqi Ding
Ziquan Wei
S. Kovalsky
Minjeong Kim
Won Hwa Kim
Guorong Wu
DiffM
24
6
0
01 Jul 2023
Investigating the Effect of Relative Positional Embeddings on
  AMR-to-Text Generation with Structural Adapters
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Sébastien Montella
Alexis Nasr
Johannes Heinecke
Frédéric Béchet
L. Rojas-Barahona
26
2
0
12 Feb 2023
Graph-to-Text Generation with Dynamic Structure Pruning
Graph-to-Text Generation with Dynamic Structure Pruning
Liang Li
Ruiying Geng
Bowen Li
Can Ma
Yinliang Yue
Binhua Li
Yongbin Li
42
2
0
15 Sep 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence
  Dependency Graph
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
Liyan Xu
Xuchao Zhang
Bo Zong
Yanchi Liu
Wei Cheng
Jingchao Ni
Haifeng Chen
Liang Zhao
Jinho D. Choi
40
4
0
01 Dec 2021
Towards Document-Level Paraphrase Generation with Sentence Rewriting and
  Reordering
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Zhe-nan Lin
Yitao Cai
Xiaojun Wan
43
13
0
15 Sep 2021
Structural Adapters in Pretrained Language Models for AMR-to-text
  Generation
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Leonardo F. R. Ribeiro
Yue Zhang
Iryna Gurevych
38
69
0
16 Mar 2021
Structural Information Preserving for Graph-to-Text Generation
Structural Information Preserving for Graph-to-Text Generation
Linfeng Song
Ante Wang
Jinsong Su
Yue Zhang
Kun Xu
Yubin Ge
Dong Yu
16
52
0
12 Feb 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Mohit Bansal
OffRL
30
6
0
15 Nov 2020
Investigating Pretrained Language Models for Graph-to-Text Generation
Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo F. R. Ribeiro
Martin Schmitt
Hinrich Schütze
Iryna Gurevych
19
215
0
16 Jul 2020
GPT-too: A language-model-first approach for AMR-to-text generation
GPT-too: A language-model-first approach for AMR-to-text generation
Manuel Mager
Ramón Fernández Astudillo
Tahira Naseem
Md Arafat Sultan
Young-Suk Lee
Radu Florian
Salim Roukos
24
99
0
18 May 2020
Reasoning with Latent Structure Refinement for Document-Level Relation
  Extraction
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan
Zhijiang Guo
Ivan Sekulić
Wei Lu
15
273
0
13 May 2020
A Human Evaluation of AMR-to-English Generation Systems
A Human Evaluation of AMR-to-English Generation Systems
Emma Manning
Shira Wein
Nathan Schneider
27
18
0
14 Apr 2020
Graph Transformer for Graph-to-Sequence Learning
Graph Transformer for Graph-to-Sequence Learning
Deng Cai
W. Lam
18
220
0
18 Nov 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
21
52
0
24 Oct 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,945
0
09 Jun 2018
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